Uniportal video-assisted thoracic surgery resection of subsolid or millimetric nodules using an innovative micro-coil technique: our experience.

Background: Sometimes, the identification of ground-glass opacities (GGOs), small or deep pulmonary nodules can be difficult also in expert hands. Usually for these lesions pulmonary lobectomy is an overtreatment, so we developed a technique to identify easily these nodules. The objective of this research is to assess the effectiveness and safety of using preoperative cone beam computed tomography (CBCT) to guide the placement of micro-coils in the lung parenchyma near GGO and small lesions.

Methodological considerations in calculating the minimal clinically important change score for the core outcome measures index (COMI): insights from a large single-centre spine surgery registry.

Introduction: The Minimal Clinically Important Change (MCIC) is used in conjunction with Patient-Reported Outcome Measures (PROMs) to determine the clinical relevance of changes in health status. MCIC measures a change within the same person or group over time. This study aims to evaluate the variability in computing MCIC for the Core Outcome Measure Index (COMI) using different methods.

Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients.

Purpose: This study aimed to develop machine learning methods to estimate bone mineral density and detect osteopenia/osteoporosis from conventional lumbar MRI (T1-weighted and T2-weighted images) and planar radiography in combination with clinical data and imaging parameters of the acquisition protocol.

Methods: A database of 429 patients subjected to lumbar MRI, radiographs and dual-energy x-ray absorptiometry within 6 months was created from an institutional database. Several machine learning models were trained and tested (373 patients for training, 86 for testing) with the following objectives: (1) direct estimation of the vertebral bone mineral density; (2) classification of T-score lower than - 1 or (3) lower than - 2.

Firearm Fatalities in the Pediatric Population: A Retrospective Study From the Cook County Medical Examiner's Office.

Gunshot injuries are one of the leading causes of death from trauma in the United States. In recent years, the US has experienced an increasing number of fatal pediatric cases related to firearms.A search of the database of the Cook County Medical Examiner's Office over the period January 2016-December 2021 revealed 418 deaths by gunshot wounds (GSWs) among people aged between 0 and 18 years old.

Influence of intercostal muscles contraction on sonographic evaluation of lung sliding: a physiological study on healthy subjects.

Objectives: To investigate the following: (a) effects of intercostal muscle contraction on sonographic assessment of lung sliding and (b) inter-rater and intra-observer agreement on sonographic detection of lung sliding and lung pulse.

Methods: We used Valsalva and Muller maneuvers as experimental models in which closed glottis and clipped nose prevent air from entering the lungs, despite sustained intercostal muscles contraction. Twenty-one healthy volunteers underwent bilateral lung ultrasound during tidal breathing, apnea, hyperventilation, and Muller and Valsalva maneuvers.

Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images.

Introduction: Modic Changes (MCs) are MRI alterations in spine vertebrae's signal intensity. This study introduces an end-to-end model to automatically detect and classify MCs in lumbar MRIs. The model's two-step process involves locating intervertebral regions and then categorizing MC types (MC0, MC1, MC2) using paired T1-and T2-weighted images.

Image annotation and curation in radiology: an overview for machine learning practitioners.

"Garbage in, garbage out" summarises well the importance of high-quality data in machine learning and artificial intelligence. All data used to train and validate models should indeed be consistent, standardised, traceable, correctly annotated, and de-identified, considering local regulations. This narrative review presents a summary of the techniques that are used to ensure that all these requirements are fulfilled, with special emphasis on radiological imaging and freely available software solutions that can be directly employed by the interested researcher.

Prediction of trunk muscle activation and spinal forces in adolescent idiopathic scoliosis during simulated trunk motion: A musculoskeletal modelling study.

Due to lack of reference validation data, the common strategy in characterizing adolescent idiopathic scoliosis (AIS) by musculoskeletal modelling approach consists in adapting structure and parameters of validated body models of adult individuals with physiological alignments. Until now, only static postures have been replicated and investigated in AIS subjects. When aiming to simulate trunk motion, two critical factors need consideration: how distributing movement along the vertebral motion levels (lumbar spine rhythm), and if neglecting or accounting for the contribution of the stiffness of the motion segments (disc stiffness).

Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset.

Study Design: Retrospective data analysis.

Objectives: This study aims to develop a deep learning model for the automatic calculation of some important spine parameters from lateral cervical radiographs.

Methods: We collected two datasets from two different institutions.

Developing a new tool for scoliosis screening in a tertiary specialistic setting using artificial intelligence: a retrospective study on 10,813 patients: 2023 SOSORT award winner.

Purpose: The study aims to assess if the angle of trunk rotation (ATR) in combination with other readily measurable clinical parameters allows for effective non-invasive scoliosis screening.

Methods: We analysed 10,813 patients (4-18 years old) who underwent clinical and radiological evaluation for scoliosis in a tertiary clinic specialised in spinal deformities. We considered as predictors ATR, Prominence (mm), visible asymmetry of the waist, scapulae and shoulders, familiarity, sex, BMI, age, menarche, and localisation of the curve.

Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model.

Introduction: A novel classification scheme for endplate lesions, based on T2-weighted images from magnetic resonance imaging (MRI) scan, has been recently introduced and validated. The scheme categorizes intervertebral spaces as "normal," "wavy/irregular," "notched," and "Schmorl's node." These lesions have been associated with spinal pathologies, including disc degeneration and low back pain.

Interventional Radiology in the Treatment of Pancreatic Adenocarcinoma: Present and Future Perspectives.

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease; patients' long-term survival is strictly linked to the surgical resection of the tumor but only a minority of patients (2-3%) have a resectable disease at diagnosis. In patients with surgically unresectable disease, interventional radiology is taking on an increasing role in treatment with the application of loco-regional percutaneous therapies. The primary purposes of this narrative review are to analyze the safety and efficacy of ablative techniques in the management of borderline resectable and locally advanced diseases and to underline the role of the interventional radiologist in the management of patients with distant metastases.

Value of transrectal color Doppler ultrasound of the common penile arteries in the diagnosis of arteriogenic erectile dysfunction: A pilot study.

Background: Penile duplex Doppler ultrasound in combination with intra-cavernous injection of vasoactive agents (PDDU-ICI) is the most accepted tool for diagnosis of arteriogenic erectile dysfunction (AED), but is invasive, time consuming and at risk of side effects.

Objectives: The purpose of this pilot study is to evaluate the potential of transrectal color Doppler ultrasound (TR-CDU) of the common penile arteries as a non-invasive method for the diagnosis of AED.

Materials And Methods: A consecutive series of 61 men consulting for erectile dysfunction (ED) and 20 controls underwent TR-CDU examination, aged from 40 to 80 years.

Supine versus Prone 3D Abus Accuracy in Breast Tumor Size Evaluation.

Breast-conserving surgery (BCS) with negative resection margins decreases the locoregional recurrence rate. Breast cancer size is one of the main determinants of Tumor-Node-Metastasis (TNM) staging. Our study aimed to investigate the accuracy of supine 3D automated breast ultrasound (3D ABUS) compared to prone 3D ABUS in the evaluation of tumor size in breast cancer patient candidates for BCS.

Fatal bone marrow embolism.

A 45-year-old man presented to the emergency department with fever, hypotension, respiratory distress, and altered mental status. Imaging revealed a femoral fracture and arterial blood gas showed severe metabolic acidosis. He died soon after admission.

A fresh look at spinal alignment and deformities: Automated analysis of a large database of 9832 biplanar radiographs.

We developed and used a deep learning tool to process biplanar radiographs of 9,832 non-surgical patients suffering from spinal deformities, with the aim of reporting the statistical distribution of radiological parameters describing the spinal shape and the correlations and interdependencies between them. An existing tool able to automatically perform a three-dimensional reconstruction of the thoracolumbar spine has been improved and used to analyze a large set of biplanar radiographs of the trunk. For all patients, the following parameters were calculated: spinopelvic parameters; lumbar lordosis; mismatch between pelvic incidence and lumbar lordosis; thoracic kyphosis; maximal coronal Cobb angle; sagittal vertical axis; T1-pelvic angle; maximal vertebral rotation in the transverse plane.

Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs.

: Commonly being the first step in trauma routine imaging, up to 67% fractures are missed on plain radiographs of the thoracolumbar (TL) spine. The aim of this study was to develop a deep learning model that detects traumatic fractures on sagittal radiographs of the TL spine. Identifying vertebral fractures in simple radiographic projections would have a significant clinical and financial impact, especially for low- and middle-income countries where computed tomography (CT) and magnetic resonance imaging (MRI) are not readily available and could help select patients that need second level imaging, thus improving the cost-effectiveness.

Treatment of Early-Stage Gynecological Cancer-Related Lower Limb Lymphedema by Lymphaticovenular Anastomosis-The Triple Incision Approach.

Background and Objectives: Lower extremity lymphedema (LEL) is one of the most relevant chronic and disabling sequelae after gynecological cancer therapy involving pelvic lymphadenectomy (PL). Supermicrosurgical lymphaticovenular anastomosis (LVA) is a safe and effective procedure to treat LEL, particularly indicated in early-stage cases when conservative therapies are insufficient to control the swelling. Usually, preoperative assessment of these patients shows patent and peristaltic lymphatic vessels that can be mapped throughout the limb to plan the sites of skin incision to perform LVA.